Work place: Department of Computer Science and Engineering & Information Technology, the NorthCap University Gurugram, 122002, India
E-mail: latikasingh@ncuindia.edu
Website:
Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Data Structures and Algorithms, Statistics
Biography
Dr Latika Singh is an Associate Professor and chair of the computer science engineering and information technology department at The NorthCap University since 2012. She received her Bachelors degree from Kurukshetra University, Masters from Guru Jambeshwar University and PhD from National Brain Research Institute in computational sciences in 2007. Her research interests center in studying digital signal processing, data-mining, statistics and modelling. She has published several research papers in peer-reviewed journals of Elsevier, Blackwell etc and conferences.
By Alisha Rohilla Mehak Khurana Latika Singh
DOI: https://doi.org/10.5815/ijcnis.2017.08.05, Pub. Date: 8 Aug. 2017
Homomorphism is a concept that allows one to perform arbitrary calculations on the cipher text. One of the application of this concept is securing one’s location while one uses location based services(LBS). In this paper I have discussed an approach to preserve mobile user’s location while accessing some location based service. The mobile user is trying to find the nearest locations of his interest using a mobile application. While doing so he wishes to keep his location coordinates a secret from the server. This is because, these days since servers may be maintained by a third party or a middleware might be involved. There is no scope of trusting anyone in this insecure world. Therefore, since in homomorphic encryption offers a way of making calculations on the cipher text thereby not revealing anything about the plaintext to the server, it becomes a more secure and safer choice for making a system which wants to keep the data protected from the server.
Problem Statement: Implementing k-nearest neighbour algorithm while preserving user location privacy using homomorphic encryption.
Subscribe to receive issue release notifications and newsletters from MECS Press journals